racarvajal

\documentclass{article}  

%
\usepackage{graphicx,xcolor}
\usepackage{siunitx}
\usepackage{tikz}
\usetikzlibrary{matrix,positioning}
%%%% Confusion Matrix Body definition %%%%
\NewDocumentCommand{\confusionmatrixperc}{O{false}mmmmmm}{
  \pgfmathsetmacro{\maxval}{max(max(#2,#3),max(#4,#5))}

racarvajal

\documentclass[tikz]{standalone}
\usetikzlibrary{shapes.geometric, arrows.meta, positioning, fit, calc, backgrounds}

\definecolor{highlight}{RGB}{52,152,250}

% TikZ styles
\tikzset{
    nodeminwidth/.store in=\nodeminwidth,
    nodeminheight/.store in=\nodeminheight,
    nodeminwidth    =3cm,

racarvajal

import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import binned_statistic_2d

# Example parameters
np.random.seed(42)
N_sources            = 10000
N_samples_per_source = 500

# Simulated asymmetric uncertainties

racarvajal

\documentclass{article}  

%
\usepackage{graphicx,xcolor}
\usepackage{siunitx}
\usepackage{tikz}
\usetikzlibrary{matrix,positioning}
%%%% Confusion Matrix Body definition %%%%
\NewDocumentCommand{\confusionmatrix}{O{false}mmmmmm}{
    \pgfmathsetmacro{\maxval}{max(max(#2,#3),max(#4,#5))}